Ensure organisation-wide compliance with the Australian Employment Compliance Checklist. Authored by Dominic Fleeton, Partner at K&L Gates, this practical tool is built from the trusted content of...
AI-enabled monitoring, biometrics, and algorithmic management are reshaping today’s workplace — and with that shift comes a new compliance frontier. From privacy and data governance to bias...
Artificial intelligence is transforming business and revolutionising industries in ways we've never seen before. From powering voice assistants like Siri and Alexa to advancing healthcare through innovative...
Background The Dymocks story is one of a celebrated family business with a long tradition and a small, busy legal team embracing modern legal technology. Dymocks is a diverse family-owned business...
This checklist is designed to assist legal counsels and governance professionals in guiding their board of directors on how to prepare for Australia’s new mandatory climate reporting regime which...
With new Artificial Intelligence (AI) models and applications being created every day, the opportunities presented by AI are vast. However, these new tools do not come without their challenges. The risks associated with quality control, biases, and privacy are important considerations and the topic of much debate.
Apprehension about embracing AI stems in part from our fear of blind spots. Perhaps for all our careful planning and risk analysis, something crucial could be overlooked, and the business finds itself in hot water.
How then, do we deploy AI tools in a way that improves workflow but does not increase risk?
Experts from the panel and roundtable discussions at the Governance Institute of Australia’s International Governance Leadership Conference suggest attention must be given to two key areas: oversight of AI decision-making and data governance.
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